Detection of bacterial pathogens from clinical specimens using conventional microbial culture and 16S metagenomics: a comparative study.
Detection of bacterial pathogens from clinical specimens using conventional microbial culture and 16S metagenomics: a comparative study.
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利用传统微生物培养法与16S宏基因组学方法从临床标本中检测细菌病原体的对比研究。
DOI:
10.1186/s12879-017-2727-8
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发表时间:
2017-09-19
影响因子:
3.7
通讯作者:
Ilango J
中科院分区:
文献类型:
--
作者:
Abayasekara LM;Perera J;Chandrasekharan V;Gnanam VS;Udunuwara NA;Liyanage DS;Bulathsinhala NE;Adikary S;Aluthmuhandiram JVS;Thanaseelan CS;Tharmakulasingam DP;Karunakaran T;Ilango J
Infectious disease is the leading cause of death worldwide, and diagnosis of polymicrobial and fungal infections is increasingly challenging in the clinical setting. Conventionally, molecular detection is still the best method of species identification in clinical samples. However, the limitations of Sanger sequencing make diagnosis of polymicrobial infections one of the biggest hurdles in treatment. The development of massively parallel sequencing or next generation sequencing (NGS) has revolutionized the field of metagenomics, with wide application of the technology in identification of microbial communities in environmental sources, human gut and others. However, to date there has been no commercial application of this technology in infectious disease diagnostic settings. Credence Genomics Rapid Infection Detection™ test, is a molecular based diagnostic test that uses next generation sequencing of bacterial 16S rRNA gene and fungal ITS1 gene region to provide accurate identification of species within a clinical sample. Here we present a study comparing 16S and ITS1 metagenomic identification against conventional culture for clinical samples. Using culture results as gold standard, a comparison was conducted using patient specimens from a clinical microbiology lab. Metagenomics based results show a 91.8% concordance rate for culture positive specimens and 52.8% concordance rate with culture negative samples. 10.3% of specimens were also positive for fungal species which was not investigated by culture. Specificity and sensitivity for metagenomics analysis is 91.8 and 52.7% respectively. 16S based metagenomic identification of bacterial species within a clinical specimen is on par with conventional culture based techniques and when coupled with clinical information can lead to an accurate diagnostic tool for infectious disease diagnosis. The online version of this article (10.1186/s12879-017-2727-8) contains supplementary material, which is available to authorized users.
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DOI:
10.1186/2042-5783-2-3
发表时间:
2012-02-09
期刊:
Microbial informatics and experimentation
影响因子:
--
作者:
Thomas T;Gilbert J;Meyer F
通讯作者:
Meyer F
DOI:
10.1155/2013/168742
发表时间:
2013
期刊:
International journal of bacteriology
影响因子:
--
作者:
Cunningham SA;Mandrekar JN;Rosenblatt JE;Patel R
通讯作者:
Patel R
DOI:
10.1073/pnas.82.20.6955
发表时间:
1985-01-01
影响因子:
11.1
作者:
LANE, DJ;PACE, B;PACE, NR
通讯作者:
PACE, NR
影响因子:
3.8
作者:
Decuypere S;Meehan CJ;Van Puyvelde S;De Block T;Maltha J;Palpouguini L;Tahita M;Tinto H;Jacobs J;Deborggraeve S
通讯作者:
Deborggraeve S
影响因子:
3.7
作者:
Salipante SJ;Sengupta DJ;Rosenthal C;Costa G;Spangler J;Sims EH;Jacobs MA;Miller SI;Hoogestraat DR;Cookson BT;McCoy C;Matsen FA;Shendure J;Lee CC;Harkins TT;Hoffman NG
通讯作者:
Hoffman NG