Evidence map›Paper›PMID 38535561›Full record

ArticlePathogens (Basel, Switzerland)2024

Total Infectome Characterization of Respiratory Infections during the 2022-23 COVID-19 Outbreak in China Revealed Extensive Coinfections with Links to SARS-CoV-2 Status, Age, and Disease Severity.

Zhongzhou Yang, Kanru Cai, Yuqi Liao, Wei-Chen Wu, Li Xing, Minxuan Hu, Jiali Ren, Jieyun Zhang, Xiuyun Zhu, Ke Yuan and 6 more

Open access · goldAbstract read
In one paragraph

Article in Pathogens (Basel, Switzerland), 2024. 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
0.4field-weighted citation impact, top 40% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  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

16 authors at 3 institutions in 1 country.

Zhongzhou YangShenzhen Key Laboratory of Systems Medicine for Inflammatory Diseases, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen 518107, China.
Kanru CaiInstitute for Hepatology, National Clinical Research Center for Infectious Disease, The Third People's Hospital of Shenzhen, Shenzhen 518112, China.
Yuqi LiaoShenzhen Key Laboratory of Systems Medicine for Inflammatory Diseases, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen 518107, China.
Wei-Chen WuShenzhen Key Laboratory of Systems Medicine for Inflammatory Diseases, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen 518107, China.
Li XingBGI Genomics, BGI-Shenzhen, Shenzhen 518000, China.
Minxuan HuShenzhen Key Laboratory of Systems Medicine for Inflammatory Diseases, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen 518107, China.
Jiali RenBGI Genomics, BGI-Shenzhen, Shenzhen 518000, China.
Jieyun ZhangInstitute for Hepatology, National Clinical Research Center for Infectious Disease, The Third People's Hospital of Shenzhen, Shenzhen 518112, China.
Xiuyun ZhuInstitute for Hepatology, National Clinical Research Center for Infectious Disease, The Third People's Hospital of Shenzhen, Shenzhen 518112, China.
Ke YuanBGI Genomics, BGI-Shenzhen, Shenzhen 518000, China.
Shunyao WangBGI Genomics, BGI-Shenzhen, Shenzhen 518000, China.
Hui HuangBGI Genomics, BGI-Shenzhen, Shenzhen 518000, China.
Chunhui YangShenzhen Key Laboratory of Systems Medicine for Inflammatory Diseases, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen 518107, China.
Mingxia ZhangInstitute for Hepatology, National Clinical Research Center for Infectious Disease, The Third People's Hospital of Shenzhen, Shenzhen 518112, China.
Mang ShiShenzhen Key Laboratory of Systems Medicine for Inflammatory Diseases, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen 518107, China.ORCID 0000-0002-6154-4437
Hongzhou LuDepartment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, The Third People's Hospital of Shenzhen, Shenzhen 518112, China.
Sun Yat-sen University · CNBGI Group (China) · CNShenzhen Third People’s Hospital · CN

Funding

Shenzhen Science and Technology Program KQTD20200820145822023
6 · The paper itself

Abstract

Between 7 December 2022 and 28 February 2023, China experienced a new wave of COVID-19 that swept across the entire country and resulted in an increasing amount of respiratory infections and hospitalizations. The purpose of this study is to reveal the intensity and composition of coinfecting microbial agents. In total, 196 inpatients were recruited from The Third People's Hospital of Shenzhen, and 169 respiratory and 73 blood samples were collected for metagenomic next-generation sequencing. The total "Infectome" was characterized and compared across different groups defined by the SARS-CoV-2 detection status, age groups, and severity of disease. Our results revealed a total of 22 species of pathogenic microbes (4 viruses, 13 bacteria, and 5 fungi), and more were discovered in the respiratory tract than in blood. The diversity of the total infectome was highly distinguished between respiratory and blood samples, and it was generally higher in patients that were SARS-CoV-2-positive, older in age, and with more severe disease. At the individual pathogen level, HSV-1 seemed to be the major contributor to these differences observed in the overall comparisons. Collectively, this study reveals the highly complex respiratory infectome and high-intensity coinfection in patients admitted to the hospital during the period of the 2023 COVID-19 pandemic in China.

Indexed as

CoinfectionCOVID-19Respiratory Tract InfectionsSARS-CoV-2Severity of Illness IndexAdolescentAdultAgedAge FactorsChinaDisease OutbreaksFemaleHumansMaleMiddle AgedYoung AdultcoinfectionCOVID-19respiratory infectiontotal infectome

Identifiers

PMID38535561
PMCPMC10974474
OpenAlexW4392385649

What OpenQuestion 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 OpenQuestion graph.