Rapid identification of bacteria from positive blood cultures by terminal restriction fragment length polymorphism profile analysis of the 16S rRNA gene
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作者:
Christensen, JE
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Marshfield Clin Fdn Med Res & Educ, Clin Res Ctr, Marshfield, WI 54449 USAMarshfield Clin Fdn Med Res & Educ, Clin Res Ctr, Marshfield, WI 54449 USA
Christensen, JE
[1
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Stencil, JA
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Marshfield Clin Fdn Med Res & Educ, Clin Res Ctr, Marshfield, WI 54449 USAMarshfield Clin Fdn Med Res & Educ, Clin Res Ctr, Marshfield, WI 54449 USA
Stencil, JA
[1
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Reed, KD
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Marshfield Clin Fdn Med Res & Educ, Clin Res Ctr, Marshfield, WI 54449 USAMarshfield Clin Fdn Med Res & Educ, Clin Res Ctr, Marshfield, WI 54449 USA
Reed, KD
[1
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[1] Marshfield Clin Fdn Med Res & Educ, Clin Res Ctr, Marshfield, WI 54449 USA
Bacteremia results in significant morbidity and mortality, especially among patient populations that are immunocompromised. Broad-spectrum antibiotics are administered to patients suspected to have bloodstream infections that are awaiting diagnosis that depends on blood culture analysis. Significant delays in identification of pathogens can result, primarily due to the dependence on growth-based identification systems. To address these limitations, we took advantage of terminal restriction fragment (TRF) length polymorphisms (T-RFLP) due to 16S ribosomal DNA (rDNA) sequence diversity to rapidly identify bacterial pathogens directly from positive blood culture. TRF profiles for each organism were determined by sizing fragments from restriction digests of PCR products derived from two sets of 16S rDNA-specific fluorescent dye-labeled primers. In addition, we created a TRF profile database (TRFPD) with 5,899 predicted TRF profiles from sequence information representing 2,860 different bacterial species. TRF profiles were experimentally determined for 69 reference organisms and 32 clinical isolates and then compared against the predicted profiles in the TRFPD. The predictive value of the profiles was found to be accurate to the species level with most organisms tested. In addition, identification of 10 different genera was possible with profiles comprising two or three TRFs. Although it was possible to identify Enterobacteriaceae by using a profile of three TRFs, the similarity of the TRF profiles of these organisms makes differentiation of species less reliable with the current method. The ability to rapidly (i.e., within similar to8 h) identify bacteria from blood cultures has potential for reducing unnecessary use of broad-spectrum antibiotics and promoting more timely prescription of appropriate antibiotics.
机构:
Juntendo Univ, Sch Med, Dept Gastroenterol, Bunkyo Ku, Tokyo 1138421, JapanJuntendo Univ, Sch Med, Dept Gastroenterol, Bunkyo Ku, Tokyo 1138421, Japan
Harada, Akira
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Ohkusa, Toshifumi
Kushima, Kaoru
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Juntendo Univ, Sch Med, Dept Gastroenterol, Bunkyo Ku, Tokyo 1138421, JapanJuntendo Univ, Sch Med, Dept Gastroenterol, Bunkyo Ku, Tokyo 1138421, Japan
Kushima, Kaoru
Sakamoto, Mitsuo
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RIKEN, BioResource Ctr, Microbe Div Japan Collect Microorganisms, Saitama, JapanJuntendo Univ, Sch Med, Dept Gastroenterol, Bunkyo Ku, Tokyo 1138421, Japan
Sakamoto, Mitsuo
Benno, Yoshimi
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RIKEN, BioResource Ctr, Microbe Div Japan Collect Microorganisms, Saitama, JapanJuntendo Univ, Sch Med, Dept Gastroenterol, Bunkyo Ku, Tokyo 1138421, Japan
Benno, Yoshimi
Beppu, Kazuko
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Juntendo Univ, Sch Med, Dept Gastroenterol, Bunkyo Ku, Tokyo 1138421, JapanJuntendo Univ, Sch Med, Dept Gastroenterol, Bunkyo Ku, Tokyo 1138421, Japan
Beppu, Kazuko
Shibuya, Tomoyoshi
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Juntendo Univ, Sch Med, Dept Gastroenterol, Bunkyo Ku, Tokyo 1138421, JapanJuntendo Univ, Sch Med, Dept Gastroenterol, Bunkyo Ku, Tokyo 1138421, Japan
Shibuya, Tomoyoshi
Sakamoto, Naoto
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Juntendo Univ, Sch Med, Dept Gastroenterol, Bunkyo Ku, Tokyo 1138421, JapanJuntendo Univ, Sch Med, Dept Gastroenterol, Bunkyo Ku, Tokyo 1138421, Japan
Sakamoto, Naoto
Watanabe, Sumio
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Juntendo Univ, Sch Med, Dept Gastroenterol, Bunkyo Ku, Tokyo 1138421, JapanJuntendo Univ, Sch Med, Dept Gastroenterol, Bunkyo Ku, Tokyo 1138421, Japan