Evidence map›Paper›PMID 27246723›Full record

ArticleBMC infectious diseases2016

Enrichment of bacterial DNA for the diagnosis of blood stream infections.

Ngo Tat Trung, Tran Thi Thu Hien, Tran Thi Thanh Huyen, Dao Thanh Quyen, Trinh Van Son, Phan Quoc Hoan, Nguyen Thi Kim Phuong, Tran Thi Lien, Mai Thanh Binh, Hoang Van Tong and 3 more

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in BMC infectious diseases, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.1field-weighted citation impact, top 9% 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

16 citing papers in PubMed, 33 citations in OpenAlex.

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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

13 authors at 4 institutions in 2 countries.

Ngo Tat TrungDepartment of Molecular Biology, 108 Military Central Hospital, Hanoi, Vietnam.
Tran Thi Thu HienDepartment of Molecular Biology, 108 Military Central Hospital, Hanoi, Vietnam.
Tran Thi Thanh HuyenDepartment of Molecular Biology, 108 Military Central Hospital, Hanoi, Vietnam.
Dao Thanh QuyenDepartment of Molecular Biology, 108 Military Central Hospital, Hanoi, Vietnam.
Trinh Van SonInstitute of Clinical Infectious Diseases, 108 Military Central Hospital, Hanoi, Vietnam.
Phan Quoc HoanDepartment of Molecular Biology, 108 Military Central Hospital, Hanoi, Vietnam.
Nguyen Thi Kim PhuongDepartment of Clinical Microbiology, 108 Military Central Hospital, Hanoi, Vietnam.
Tran Thi LienFaculty of Infectious Diseases, Hai Phong Medical University, Hai Phong, Vietnam.
Mai Thanh BinhDepartment of Gastroenterology, 108 Military Central Hospital, Hanoi, Vietnam.
Hoang Van TongInstitute of Tropical Medicine, University of Tübingen, Tübingen, Germany.
Christian G MeyerInstitute of Tropical Medicine, University of Tübingen, Tübingen, Germany.
Thirumalaisamy P VelavanInstitute of Tropical Medicine, University of Tübingen, Tübingen, Germany. velavan@medizin.uni-tuebingen.de.
Le Huu SongDepartment of Molecular Biology, 108 Military Central Hospital, Hanoi, Vietnam. lehuusong@108-icid.com.
108 Military Central Hospital · VNVietnamese - German Center of Excellence in Medical Research · VNHai phong University Of Medicine and Pharmacy · VNUniversity of Tübingen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBlood cultures are commonly employed to identify bacterial pathogens causing sepsis. PCR assays to diagnose septicemia require extraction of bacterial DNA from blood samples and thus, delay the initiation of appropriate antimicrobial treatment. The presence of abundant human DNA may hamper the sensitivity of PCR in the detection of bacteria.

methodsWe used serial dilutions of E. Coli spiked pseudo-blood-sepsis samples to develop a simple method that combines the use of a polar detergent solvent and adjustment of the basic pH to remove human DNA. A 16S rRNA gene-based screening algorithm was established to differentiate Gram-positive and Gram-negative groups of bacteria and the family of Enterobacteriaceae. A stringent validation with appropriate controls was implemented. The method of human DNA removal was then applied on 194 sepsis blood samples and 44 cerebrospinal fluid (CSF) samples by real-time PCR.

resultsThis uncomplicated and straightforward approach allows to remove up to 98 % of human DNA from peripheral blood of septic patients. The inhibitory effect of human DNA is efficiently prevented and the detection limit of real-time PCR is increased to 10 E. Coli CFUs/ml. This sensitivity is 10 times higher compared to conventional real-time PCR assays. The classical blood culture detected 58/194 (30 %) of sepsis and 9/44 (21 %) of CSF samples. Out of the 194 blood samples tested, the conventional real-time PCR targeting 13 common sepsis causing pathogens correctly detected the bacterial DNA in 16/194 (8 %) only and 14/44 (32 %) in cerebrospinal fluid samples. Our newly established approach was able to provide correct diagnoses in 78 (40 %) of the 194 blood samples and in 14 (32 %) of the CSF samples. The combination of both blood cultures and our technique raised the rate of sepsis diagnoses to 112/194 (58 %). Of the total group tested positive, 46 (24 %) cases showed overlap with the classical methodology.

conclusionWe report a simple optimized in-house protocol for removal of human DNA from blood sepsis samples as a pre-analytical tool to prepare DNA for subsequent PCR assays. With the detection increase of our in-house DNA removal approach, subsequent PCR assays can reach detection limits of 10 E. coli CFUs/ml and significantly improve the diagnostic rate in blood sepsis cases.

Indexed as

BacteremiaDNA, BacterialEscherichia coliEscherichia coli InfectionsHumansReal-Time Polymerase Chain ReactionRNA, Ribosomal, 16SSensitivity and SpecificityDNA, BacterialRNA, Ribosomal, 16SBlood cultureBloodstream infectionHuman DNA removalMolecular diagnosisSepsis

Identifiers

PMID27246723
PMCPMC4888298
OpenAlexW2411396489

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.