Literature DB >> 15776295

Detection of microbial DNA in the blood of surgical patients for diagnosing bacterial translocation.

Satoshi Ono1, Hironori Tsujimoto, Akira Yamauchi, Shuichi Hiraki, Eiji Takayama, Hidetaka Mochizuki.   

Abstract

Bacterial translocation sometimes occurs in patients during surgical stress and is associated with an increased incidence of septic morbidity. However, no reliable method has been established for diagnosing bacterial translocation in humans. Identification of minute quantities of microbial-specific DNA has been made possible using polymerase chain reaction (PCR) techniques. The aims of this study were to determine the prevalence of bacterial translocation in patients with surgical stress using PCR techniques and to evaluate the usefulness of blood PCR techniques for diagnosing bacterial translocation. DNA was extracted from the blood of 52 surgical patients (24 elective major surgery patients and 28 septic patients) and 10 healthy controls. PCR techniques were used to amplify genes from Escherichia coli, Bacteroides fragilis, a region of 16S ribosomal RNA found in many gram-positive and gram-negative bacteria, and Candida albicans. Bacterial and Candida albicans DNA were not detected in healthy volunteers. Enteric bacterial DNA was detected in patients with hepatic lobectomy, and Candida albicans DNA was detected in patients with esophagectomy on the first postoperative day. Enteric bacterial and Candida albicans DNA were detected in septic patients with findings diagnostic of bacterial translocation, such as small bowel obstruction, ulcerative colitis, or supramesenteric arterial occlusion or in those who had undergone chemotherapy for advanced colon cancer. However, none of the patients were positive by the blood culture technique. The PCR method is more sensitive than blood cultures for detecting bacterial components in the blood of septic patients and is a valuable tool for verifying bacterial translocation in patients who have undergone hepatic lobectomy or esophagectomy. It is also valuable in septic patients who do not have a defined focus of infection.

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Year:  2005        PMID: 15776295     DOI: 10.1007/s00268-004-7618-7

Source DB:  PubMed          Journal:  World J Surg        ISSN: 0364-2313            Impact factor:   3.352


  16 in total

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Journal:  Lancet       Date:  1989-11-04       Impact factor: 79.321

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Journal:  Ann Surg       Date:  1990-10       Impact factor: 12.969

4.  Bacterial translocation in acute liver failure induced by 90 per cent hepatectomy in the rat.

Authors:  X D Wang; V Soltesz; R Andersson; S Bengmark
Journal:  Br J Surg       Date:  1993-01       Impact factor: 6.939

5.  The use of polymerase chain reaction to detect septicemia in critically ill patients.

Authors:  R T Cursons; E Jeyerajah; J W Sleigh
Journal:  Crit Care Med       Date:  1999-05       Impact factor: 7.598

6.  Detection of Mycoplasma pneumoniae by using the polymerase chain reaction.

Authors:  C Bernet; M Garret; B de Barbeyrac; C Bebear; J Bonnet
Journal:  J Clin Microbiol       Date:  1989-11       Impact factor: 5.948

7.  Identification of a patient with Streptococcus pneumoniae bacteremia and meningitis by the polymerase chain reaction (PCR).

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Journal:  Mol Cell Probes       Date:  1995-06       Impact factor: 2.365

8.  Detection of Bacteroides fragilis in clinical specimens by PCR.

Authors:  Y Yamashita; S Kohno; H Koga; K Tomono; M Kaku
Journal:  J Clin Microbiol       Date:  1994-03       Impact factor: 5.948

9.  Endotoxemia in burn patients: levels of circulating endotoxins are related to burn size.

Authors:  R A Winchurch; J N Thupari; A M Munster
Journal:  Surgery       Date:  1987-11       Impact factor: 3.982

10.  Plasma (1-->3)-beta-D-glucan measurement in diagnosis of invasive deep mycosis and fungal febrile episodes.

Authors:  T Obayashi; M Yoshida; T Mori; H Goto; A Yasuoka; H Iwasaki; H Teshima; S Kohno; A Horiuchi; A Ito
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2.  Relations among circulating monocytes, dendritic cells, and bacterial translocation in patients with intestinal obstruction.

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Journal:  Biomedicines       Date:  2022-02-04

4.  The Characterization of Novel Tissue Microbiota Using an Optimized 16S Metagenomic Sequencing Pipeline.

Authors:  Jérôme Lluch; Florence Servant; Sandrine Païssé; Carine Valle; Sophie Valière; Claire Kuchly; Gaëlle Vilchez; Cécile Donnadieu; Michael Courtney; Rémy Burcelin; Jacques Amar; Olivier Bouchez; Benjamin Lelouvier
Journal:  PLoS One       Date:  2015-11-06       Impact factor: 3.240

5.  Multi-Method Characterization of the Human Circulating Microbiome.

Authors:  Emma Whittle; Martin O Leonard; Rebecca Harrison; Timothy W Gant; Daniel Paul Tonge
Journal:  Front Microbiol       Date:  2019-01-17       Impact factor: 5.640

6.  Influence of periodontal treatment on blood microbiotas: a clinical trial.

Authors:  Wenyi Zhang; Yang Meng; Jin Jing; Yingtao Wu; Shu Li
Journal:  PeerJ       Date:  2021-02-16       Impact factor: 2.984

  6 in total

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