Evidence map›Paper›PMID 29180323›Full record

ArticleNan fang yi ke da xue xue bao = Journal of Southern Medical University2017

[Pathogen analysis in patients with diabetic foot osteomyelitis using 16S rRNA high-throughput sequencing].

Ping Hu, Meng-Chen Zou, Ying Cao, Yan-Ling Pan, Xiang-Rong Luo, Ya Jiang, Yao-Ming Xue, Fang Gao

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Article in Nan fang yi ke da xue xue bao = Journal of Southern Medical University, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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8 authors at 1 institution in 1 country.

Ping HuDepartment of Endocrinology and Metabolism, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China. E-mail: 809353638@qq.com.
Meng-Chen Zou
Ying Cao
Yan-Ling Pan
Xiang-Rong Luo
Ya Jiang
Yao-Ming Xue
Fang Gao
Nanfang Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo analyze the characteristics of pathogenic microorganisms in the infected bone tissues in patients with diabetic foot osteomyelitis (DFO) using 16S rRNA high-throughput sequencing to facilitate rapid and accurate detection of pathogens and effective infection control.

methodsBetween September, 2016 and April, 2017, 16 patients with DFO were admitted in our department and infected bone specimens were obtained during debridement. The pathogenic microorganisms in the specimens were identified using both 16S rRNA high-throughput sequencing and automatic blood culture analyzer, and the characteristics of the microflora were analyzed based on 16S rRNA sequencing data in comparison with the results of blood culture.

resultsThe results of 16S rRNA sequencing showed that bone tissues of DFO contained diverse and uniformly distributed pathogenic organisms, among which 20 (87%) dominant genera were identified with Prevotella as the most abundant pathogen. Both 16S rRNA sequencing and routine culture results suggested the domination of gram-negative bacteria among the pathogens in DFO bone tissues. 16S rRNA sequencing, compared with routine culture, yielded a higher positivity rate (100% vs 88.24%) and detected a greater average number of pathogens (12.56 vs 1.50) and a higher proportion of gram-negative bacteria (67.16% vs 50.00%) in the samples. 16S rRNA sequencing detected nearly all the pathogens identified by routine culture except for Escherichia coli, Serratia marcescens and Enterobacter cloaca, and identified 13 genera that failed to be detected by routine culture, including the obligate or strict anaerobes Anaerococcus, Veillonella, Bacteroides, Fusobacterium, Porphyromonas, Finegoldia, Prevotella, Peptostreptococcus, Parvimonas, Peptoniphilus and Bulleidia. Routine culture did not detect any anaerobes in the samples but identified multidrug-resistant strains in as many as 58.33% of the pathogens.

conclusions16S rRNA high-throughput sequencing is capable of demonstrating the diversity and abundance of microflora in DFO bone tissues, where diverse and uniformly distributed pathogens can be detected with a discrete distribution of the dominant genera, most of which are gram-negative. Compared with routine culture method, 16S rRNA sequencing allows more convenient and accurate identification of the pathogens (especially gram-negative bacteria and anaerobes), and can be useful in clinical decision on appropriate treatment of DFO.

Indexed as

High-Throughput Nucleotide SequencingBacteriaDiabetic FootDNA, BacterialHumansOsteomyelitisRNA, Ribosomal, 16SDNA, BacterialRNA, Ribosomal, 16S

Identifiers

PMID29180323
PMCPMC6779638
OpenAlexW3025622876

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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.