Evidence map›Paper›PMID 39367927›Full record

ArticleEuropean journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology2024

Deciphering microbiome and fungi-bacteria interactions in chronic wound infections using metagenomic sequencing.

Qingqing Wang, Meixia Wang, Yu Chen, Qing Miao, Wenting Jin, Yuyan Ma, Jue Pan, Bijie Hu

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Article in European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Qingqing Wang *Department of Infectious Diseases, Zhongshan Hospital, Fudan University, Shanghai, China.
Meixia Wang *Department of Hospital Infection Control, Zhongshan Hospital Xiamen Branch Hospital, Fudan University, Shanghai, China.
Yu Chen *Department of Infectious Diseases, Zhongshan Hospital, Fudan University, Shanghai, China.
Qing MiaoDepartment of Infectious Diseases, Zhongshan Hospital, Fudan University, Shanghai, China.
Wenting JinDepartment of Infectious Diseases, Zhongshan Hospital, Fudan University, Shanghai, China.
Yuyan MaDepartment of Infectious Diseases, Zhongshan Hospital, Fudan University, Shanghai, China.
Jue PanDepartment of Infectious Diseases, Zhongshan Hospital, Fudan University, Shanghai, China.
Bijie HuDepartment of Infectious Diseases, Zhongshan Hospital, Fudan University, Shanghai, China. hu.bijie@zs-hospital.sh.cn.ORCID http://orcid.org/0000-0002-8687-992X

Funding

Science and Technology Innovation Plan Of Shanghai Science and Technology Commission 20YF1407700
6 · The paper itself

Abstract

purposeChronic wounds caused by infections impose a considerable global healthcare burden. The microbial features of these infections and possible correlations between bacteria and fungi may influence wound healing. However, metagenomic next-generation sequencing (mNGS) analyses of these features remain sparse. Therefore, we performed mNGS on chronic wound infection samples to investigate features and correlations between the bacteriome and mycobiome in 66 patients (28: chronic wounds; 38: non-chronic wounds).

methodsMicrobial community characteristics in patients with wound infections, microbiome-systemic inflammation associations, and bacteria-fungi correlations were analyzed.

resultsInfections constituted the primary cause of wounds in this study. Nontuberculous mycobacteria (23%) and Mycobacterium tuberculosis (13%) were the most common pathogens associated with chronic wounds, whereas Staphylococcus aureus (15%) was the most prevalent in non-chronic wound infections. Patients with chronic wound infections had a higher abundance of Pseudomonas aeruginosa than those without chronic wounds. Microbes with a high relative abundance in chronic wound infections were less significantly associated with plasma inflammatory factors than those in non-chronic wound infections. Additionally, a positive correlation between Candida glabrata and P. aeruginosa and an association between Malassezia restricta and anaerobic species were detected in patients with chronic wound infections.

conclusionOur results further support the hypothesis that P. aeruginosa is a microbial biomarker of chronic wound infection regardless of the causative pathogens. Moreover, we propose a positive correlation between C. glabrata and P. aeruginosa in chronic wound infections, which advances the current understanding of fungi-bacteria correlations in patients with chronic wound infections.

Indexed as

BacteriaFungiHigh-Throughput Nucleotide SequencingMetagenomicsMicrobiotaWound InfectionAdultAgedAged, 80 and overChronic DiseaseFemaleHumansMaleMicrobial InteractionsMiddle AgedMycobiomeBacteriaChronic wound infectionCorrelationFungiMetagenomic next-generation sequencing

Identifiers

PMID39367927

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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.